一文详解Python中的行为验证码验证功能

# 生成背景图 basemap1 = Image.open(bg).convert("RGBA")  # 背景图 if basemap1.size != size:  # 需要裁切或拉伸 basemap1 = Graphics.crop(basemap1, size[0], size[1]) puzzle1 = Image.open(url_absolute(img)).convert("RGBA")  # 方块图，蒙板 # 旋转角度 if rotate == 2: angle = randint(0, 360) elif rotate == 1: angle = choice([0, 90, 180, 270]) else: angle = 0 # angle = 45 if angle: puzzle1 = puzzle1.rotate(angle, resample=Image.Resampling.BILINEAR) puzzle1.putalpha(ImageEnhance.Brightness(puzzle1.split()[3]).enhance(alpha))  # 设置透明度，0-1之间 # 产生随机位置 img_size = puzzle1.size  # 滑动图片尺寸 spacing = 0  # 滑动图片在底图位置四周间距，暂时使用0，小图片中的图案本身有20px边距 # 随机位置 x = randint(img_size[0] + spacing, size[0] - img_size[0] - spacing) y = randint(spacing, size[1] - img_size[1] - spacing) basemap1.paste(puzzle1, (x, y), puzzle1)  # 拷贝 # 方块滑动图 # basemap2 = Image.open(url_absolute(bg)).convert("RGBA") basemap2 = Image.open(bg).convert("RGBA") if basemap2.size != size:  # 需要裁切或拉伸 basemap2 = Graphics.crop(basemap2, size[0], size[1]) puzzle2 = Image.open(url_absolute(img)).convert("RGBA") if angle: puzzle2 = puzzle2.rotate(angle, resample=Image.Resampling.BILINEAR)  # 旋转 basemap2 = basemap2.crop((x, y, x + img_size[0], y + img_size[1]))  # 裁切 puzzle2.paste(basemap2, (0, 0), puzzle2) # 替换成长条形滑动块 strip = Image.new('RGBA', (img_size[0], size[1]), (255, 255, 255, 0)) strip.paste(puzzle2, (0, y), puzzle2)  # 拷贝

def random_character(self, length=None, type=[0, 1, 2, 3], repeat=False): """ 生成随机字符 :param length: 生成的字符长度，几个字符 :param type: [0] 数字，[1] 大写字母，[2]小写字母，[3] 特殊字符 :param repeat: 是否允许重复字符 :return [("A", 1, "大写字母"), ("8", 0, "数字"), ("a", 2, "小写字母"), ("", 3, "高跟鞋") ...] """ if length is None: length = self.str_count # length = 10 # type = [0] string = "".join(dict([(key, { 0: "2345678923456789", 1: "ABCDEFGHJKLMNQRTY", 2: "abcdefghijkmnqrty", 3: "", }[key]) for key in type]).values()) r = [] for i in range(length): if repeat:  # 允许重复 s = choice(string) t = Inference.char_type(s) r.append((s, t[0], t[1])) else: anti = 0  # 防止死循环，尝试一定次数后允许字符重复 while True: anti += 1 s = choice(string) t = Inference.char_type(s) st = "".join([it[0] for it in r]) if s not in st or anti > 30: r.append((s, t[0], t[1])) break # 替换 n 个字母为图形字符 if 3 in type: index = sample([i for i in range(length)], randint(0, length))  # 随机一组索引值：[0, 3, 1] icon_char = sample(self.icon_str, len(index))  # 随机取出 n 组特殊字符 x = 0 for i in index: # r = Inference.char_replace(r, i, icon_char[x][1]) r[i] = (icon_char[x][1], 3, icon_char[x][2]) x += 1 return r

# 噪线 for i in range(line_count): x1 = randint(0, size[0]) x2 = randint(0, size[0]) y1 = randint(0, size[1]) y2 = randint(0, size[1]) draw.line((x1, y1, x2, y2), fill=Word.get_random_color()) # 噪点 for i in range(point_count): draw.point([randint(0, size[0]), randint(0, size[1])], fill=Word.get_random_color()) x = randint(0, size[0]) y = randint(0, size[1]) draw.arc((x, y, x + 4, y + 4), 0, 90, fill=Word.get_random_color())

# 字体识别 if type in (10, 11, 12):  # 789生成成语/固定字符 str_count = 1 str_inter = numeric(str_inter, 2, 20)  # 干扰字符不能少于2 v_font = sample(ttf, 2)  # 随机选出两种字体 string = [] for i in range(str_count + str_inter): if type in (10, 11, 12):  # 字体识别，只使用两种字体 font_file = v_font[0] if i == 0 else v_font[1] else:  # 随机字体 font_file = choice(ttf) font = ImageFont.truetype(url_absolute(font_file), size=font_size) # 成语/使用固定字符，前n个字符使用成语字符 random_char = idiom[i:i+1] if idiom else "" # 随机字符串及补充固定字符时追加干扰字符 if random_char == "": head = randint(0xb0, 0xf7) body = randint(0xa1, 0xfe) random_char = bytes.fromhex(f'{head:x} {body:x}').decode("gb18030") # print(random_char, font_file) # 随机位置 anti = 0  # 防止字体设置过大或者图片设置过小，导致死循环，尝试一定次数后允许字符重叠 while True:  # 防止文字重叠 anti += 1 x = randint(0, size[0] - font_size) y = randint(0, size[1] - font_size) find = True for s in string: if abs(x - s[1])  20: break # 创建文字图片，可旋转 str_bg = Image.new("RGBA", (font_size, font_size), (255, 255, 255, 0))  # 文字用空白图层 str_draw = ImageDraw.Draw(str_bg) str_draw.text((0, 0), random_char, Word.get_random_color(), font=font)  # 添加文字 angle = randint(-75, 75) if rotate else 0  # 是否随机角度 str_bg = str_bg.rotate(angle, resample=Image.Resampling.BILINEAR, expand=0)  # 随机旋转 basemap.paste(str_bg, (x, y), str_bg)  # 图片与文字合并 # 保存随机字符及位置 string.append([random_char, x, y, -angle])  # 字符、x、y、角度(正负转换，转用CSS顺时针旋转形式)

def send_color2differ(self): """ 请点击一个颜色不一样的字符 """ color = self.color_name(2)  # 获取 2 组带中文名称的颜色 [('蓝色', '#0000FF'), ] data = [] for i in range(self.str_count): # data/在图片上生成的数据 data.append({ "str": self.string[i][0],  # 字符内容 "X": self.coord[i][0],  # x 位置 "Y": self.coord[i][1],  # y 位置 "color": color[0][1] if i == 0 else color[1][1], "angle": self.angle[i], "icon": True if self.string[i][1] == 3 else False,  # 是否为图形字符 }) # hint/操作说明文字 hint = f'请点击一个 颜色不一样 的 {self.string[0][2]}' str = [(data[0]["str"], data[0]["X"], data[0]["Y"], data[0]["angle"]), ] return {"data": data, "str": str, "hint": hint} def send_color2capital(self): """ 请点击蓝色字母对应的大写 """ direc = choice([1, 2])  # 随机一种方式，大写 to 小写/小写 to 大写 color = self.color_name()  # 获取 n 组带中文名称的颜色 [('蓝色', '#0000FF'), ] self.string = self.random_character(type=[direc]) data = [] for i in range(self.str_count): # data/在图片上生成的数据 data.append({ "str": self.string[i][0],  # 字符内容 "X": self.coord[i][0],  # x 位置 "Y": self.coord[i][1],  # y 位置 "color": color[i][1], "angle": self.angle[i], "icon": True if self.string[i][1] == 3 else False,  # 是否为图形字符 }) data[0]["str"] = data[1]["str"].swapcase() # hint/操作说明文字 hint = f'请点击 {color[0][0]}字母 对应的 {"大写" if direc == 1 else "小写"}' str = [(data[1]["str"], data[1]["X"], data[1]["Y"], data[1]["angle"]), ] return {"data": data, "str": str, "hint": hint}